Technology

Capital One pushes data tokenisation

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News

Introducing Gemini 2.0: our new AI model for the agentic era

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Why ā€˜Beating China’ in AI Brings Its Own Risks

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AI means the end of internet search as we’ve known it

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Technology

An AI Teammate That Conducts Military Operations – Simulations in War...

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How optimistic are you about AI’s future?

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Technology

Edge computing’s rise will drive cloud consumption, not replace it

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Technology

OpenAI Acquires Rockset and Highlights Where Generative AI is Headed Next

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Technology

From Token to Conceptual: Meta introduces Large Concept Models in Multilingual...

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What’s next for AI in 2025

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AI Hardware

Purpose-built AI hardware: Smart strategies for scaling infrastructure

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Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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Step-by-Step Guide to Build a Customizable Multi-Tool AI Agent with LangGraph...

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Anthropic

This retractable USB-C cable for fast charging is a must buy...

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Anthropic

Microsoft now tests AI-generated text for Windows Notepad

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Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has not been fully explored. While some recent efforts have used LLMs to enhance performance in languages like C++ and Python, the broader application of LLMs to optimize code, especially in low-level programming contexts,...